Author: Luca Arrotta

Luca Arrotta
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Luca is Ph.D. student at the Department of Computer Science of the University of Milan. His interests are Machine Learning, Data Analysis, IoT, Mobile Programming, and Indoor Positioning. His research currently focuses on Pervasive Computing, Context-awareness, Explainable AI, and Human Activity Recognition in smart environments.

Top Emerging Computer Vision Trends For 2022

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Hierarchical Federated Learning-Based Anomaly Detection Using Digital Twins For Internet of Medical Things (IoMT)

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AI Researchers Propose An Easy-To-Use Federated Learning Framework Called ‘FedCV’ For Diverse Computer Vision Tasks

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🐝 FREE AI WEBINAR: A Synthetic Data Deep Dive (July 30 2024)

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